update INC version

Author: VincyZhang

examples/optimization/tensorflow/huggingface/text-classification/auto_distillation/requirements.txt

@@ -1,5 +1,6 @@
+git+https://github.com/intel/neural-compressor.git@old_api_examples
 datasets >= 1.17
 sentencepiece != 0.1.92
 protobuf
 intel-tensorflow == 2.10.0
-transformers
+transformers>=4.12.0

examples/optimization/tensorflow/huggingface/text-classification/distillation/requirements.txt

@@ -1,3 +1,4 @@
+git+https://github.com/intel/neural-compressor.git@old_api_examples
 datasets >= 1.17
 sentencepiece != 0.1.92
 protobuf

examples/optimization/tensorflow/huggingface/text-classification/pruning/requirements.txt

@@ -1,3 +1,4 @@
+git+https://github.com/intel/neural-compressor.git@old_api_examples
 datasets >= 1.17
 sentencepiece != 0.1.92
 protobuf

intel_extension_for_transformers/backends/neural_engine/test/pytest/test_quant_onnx_execute.py

@@ -39,7 +39,7 @@ def test_onnx_qlinear_compile(self):
         input_1 = np.random.uniform(low=0, high=1, size=[1, 128]).astype('int32')
         input_2 = np.random.uniform(low=0, high=1, size=[1, 128]).astype('int32')
         # compile and execute qlinear model
-        qlinear_model_path = "/tf_dataset2/models/nlp_toolkit/qlinear/bert_mini_sst2_qlinear.onnx"
+        qlinear_model_path = "/home/tensorflow/localfile/nlptoolkit_ut_model/qlinear/bert_mini_sst2_qlinear.onnx"
         if is_win():
             qlinear_model_path = "D:\\dataset\\nlptoolkit_ut_model\\qlinear\\bert_mini_sst2_qlinear.onnx"
         os.environ['GLOG_minloglevel'] = '2'
@@ -49,7 +49,7 @@ def test_onnx_qlinear_compile(self):
         qlinear_output_dict = qlinear_model.inference([input_0, input_1, input_2])
         qlinear_output = list(qlinear_output_dict.values())[0]        
         # compile and execute qdq model
-        qdq_model_path = "/tf_dataset2/models/nlp_toolkit/qlinear/bert_mini_sst2_qdq.onnx"
+        qdq_model_path = "/home/tensorflow/localfile/nlptoolkit_ut_model/qlinear/bert_mini_sst2_qdq.onnx"
         if is_win():
             qdq_model_path = "D:\\dataset\\nlptoolkit_ut_model\\qlinear\\bert_mini_sst2_qdq.onnx"
         self.assertTrue(os.path.exists(qdq_model_path),

requirements.txt

@@ -1,4 +1,4 @@
-git+https://github.com/intel/neural-compressor.git@old_api_examples
+neural-compressor==1.14.2
 numpy
 packaging
 protobuf --no-binary=protobuf

tests/requirements.txt

@@ -1,13 +1,13 @@
 datasets>=1.17
 mlflow
-neural-compressor
+git+https://github.com/intel/neural-compressor.git@old_api_examples
 nlpaug
 sacremoses
 onnx>=1.10
 onnxruntime>=1.11
 onnxruntime-extensions
 --find-links https://download.pytorch.org/whl/torch_stable.html
 torch>=1.10.0
-transformers
+transformers<=4.19.2
 tensorflow==2.10.0
 torchprofile